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Robust and secured telehealth system for COVID-19 patients
The demand for Telehealth is rapidly increasing worldwide. Digital solutions in the current epidemic are revealing the powers and flaws of current Telehealth infrastructures. Telehealth brings remote access to medical facilities and covering the extent of physicians and health services. The outbreak...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138116/ http://dx.doi.org/10.1016/B978-0-12-824536-1.00022-8 |
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author | Ullah, Waheed Yahya, Abid Samikannu, Ravi Tlale, Taolo |
author_facet | Ullah, Waheed Yahya, Abid Samikannu, Ravi Tlale, Taolo |
author_sort | Ullah, Waheed |
collection | PubMed |
description | The demand for Telehealth is rapidly increasing worldwide. Digital solutions in the current epidemic are revealing the powers and flaws of current Telehealth infrastructures. Telehealth brings remote access to medical facilities and covering the extent of physicians and health services. The outbreak of COVID-19 emphasizes the necessity for timely tracking of persons who are infected, and preferably, their connections. Telehealth facilities are speedily becoming a frontline force in the struggle to lessen healthcare-linked COVID-19 spreads, and eventually shielding healthcare professional. Whereas telehealth can substitute competence and accessibility, its dependence on real-time communication of medical records over the cloud also generates danger. At each phase of the practice, hostile measures may happen, together with diagnostic blunders, technical problems, and patient confidentiality and safety defilements. This paper developed a highly secure and robust decoder for the Telehealth model to monitor the patients' vital signs and psychological signals. The proposed Telehealth system reduced the transmission power and congestion on the database and ensured secured reliable data at the receiving end. |
format | Online Article Text |
id | pubmed-8138116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-81381162021-05-21 Robust and secured telehealth system for COVID-19 patients Ullah, Waheed Yahya, Abid Samikannu, Ravi Tlale, Taolo Data Science for COVID-19 Article The demand for Telehealth is rapidly increasing worldwide. Digital solutions in the current epidemic are revealing the powers and flaws of current Telehealth infrastructures. Telehealth brings remote access to medical facilities and covering the extent of physicians and health services. The outbreak of COVID-19 emphasizes the necessity for timely tracking of persons who are infected, and preferably, their connections. Telehealth facilities are speedily becoming a frontline force in the struggle to lessen healthcare-linked COVID-19 spreads, and eventually shielding healthcare professional. Whereas telehealth can substitute competence and accessibility, its dependence on real-time communication of medical records over the cloud also generates danger. At each phase of the practice, hostile measures may happen, together with diagnostic blunders, technical problems, and patient confidentiality and safety defilements. This paper developed a highly secure and robust decoder for the Telehealth model to monitor the patients' vital signs and psychological signals. The proposed Telehealth system reduced the transmission power and congestion on the database and ensured secured reliable data at the receiving end. 2021 2021-05-21 /pmc/articles/PMC8138116/ http://dx.doi.org/10.1016/B978-0-12-824536-1.00022-8 Text en Copyright © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Ullah, Waheed Yahya, Abid Samikannu, Ravi Tlale, Taolo Robust and secured telehealth system for COVID-19 patients |
title | Robust and secured telehealth system for COVID-19 patients |
title_full | Robust and secured telehealth system for COVID-19 patients |
title_fullStr | Robust and secured telehealth system for COVID-19 patients |
title_full_unstemmed | Robust and secured telehealth system for COVID-19 patients |
title_short | Robust and secured telehealth system for COVID-19 patients |
title_sort | robust and secured telehealth system for covid-19 patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138116/ http://dx.doi.org/10.1016/B978-0-12-824536-1.00022-8 |
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